Arpit Jain ¹, Satya Sheel ², Kamal Bansal ³

Affiliations
1 Electronics and Instrumentation Engineering, University of Petroleum and Energy Studies, Dehradun - 248007, Uttarakhand, IN
2 Electrical Engineering Department, GLA University, Mathura – 281406, Uttar Pradesh, IN
3 Electrical, Power and Energy Engineering, University of Petroleum and Energy Studies, Dehradun - 248007, Uttarakhand, IN

Abstract

This paper presents a Genetic Algorithm based optimization algorithm for fuzzy logic system. The proposed algorithm employs fuzzy entropy function as optimization bound(s) parameter. Membership function formation plays a key role in performance of a fuzzy system, as an improperly designed MF may lead to an inefficient system. Majority of literature focuses on optimization of shape of a MF and not the support. Proposed optimization method focuses on optimizing support of MF and not on its shape. For this optimization process predefined membership functions are used, the support of these membership functions these predefined sets are varied using standard deviation of the system data obtained by simulation or real-time analysis of the system. The support of these membership functions these predefined sets are varied using standard deviation of the system data obtained by simulation or real-time analysis of the system. Entropy for each displaced Fuzzy Set is maximized subjective to constraint optimization and thus optimized value of support is obtained. The proposed algorithm optimizes the support of Fuzzy Sets and hence can be combined with any other optimization tool for obtaining even better results.

Keywords

Fuzzy Entropy, Genetic Algorithms, Support Optimization.

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Rajesh Kumar ¹, Kamal Bansal ², Devender Kumar Saini ², I. P. S. Paul ³

Affiliations
1 Delhi Transco Ltd. (DTL), Delhi - 110002, IN
2 UPES, Dehradhun - 248007, Uttarakhand, IN
3 HRIT, Ghaziabad - 201003, Uttar Pradesh, IN

Abstract

This paper presents empirical formulas which can be used for designing the grounding system in two layer soil model for both Gas Insulated Substation (GIS) and Air Insulted Substation (AIS). Proper soil modelling helps in accurate designing of grounding system of substation. IEEE-80 gives formulas to design grounding system for uniform soil model and help of software is taken for two or more than two layer soil model. MATLAB GUI has been used for designing of grounding system of high voltage substation. There is acute need to provide low resistance path for fault current into the ground and to limit the ground potential rise and touch and step potentials within tolerable limit. Presently preference is given to Gas Insulated Substation over Air Insulated Substation due to scarcity of availability of space. The computer program can design the grounding system optimally and accurately in very short duration. Also, empirical formulas may be used for parametric analysis of designing of grounding system for two layer soil model by engineers for designing of grounding system.

Keywords

Grounding, Ground Potential Rise (GPR), Resistivity, Resistance, Single and Two Layers Soil Model, Touch and Step Potential.

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